Abstract
Continuous quality improvement is essential to ensure the competitiveness of manufacturing industries. Design of Experiments, Statistical Process Control and Failure Mode and Effect Analysis are common tools for improving quality. This study proposes a new tool that could encompass quality improvement steps comprehensively, namely Quality Improvement Matrix. This tool integrates several techniques which are House of Quality, Failure Mode and Effect Analysis (FMEA) and Root Cause Analysis. Quality Improvement Matrix covers identification of defects and its root causes, measuring the magnitude of defects (source of defects), formulating alternatives of solutions for reducing root cause of defects and selecting effective solutions to be implemented. Quality Improvement Matrix is developed by following a similar approach as House of Risk. Thus, it also consists of two matrixes that represent two major stages. The first stage is the identification and prioritizing root causes of defect. Then, the second stage is formulating and selecting solutions for improvements.
Highlights
The definition of quality according to [7] is conformity of which are related to two aspects they are quality of design and quality of conformance
According to [4] there are several tools that are often used to improve product quality in manufacturing industries such as Design of Experiment (DOE), Statistical Process Control (SPC) and Failure Mode and Effect Analysis (FMEA) can make good quality improvements, but their use should still be integrated with other tools to cover ranging from defect identification, Measure, Analysis and finding the root cause of the defect to making recommendations for improvements to overcome the existing defect
3 Development of Quality Improvement Matrix. The development of this new tool for quality improvement follows the development of the House of Risk (HOR) tool that incorporates House of Quality (HOQ) and Failure Mode and Effect Analysis (FMEA)
Summary
The definition of quality according to [7] is conformity of which are related to two aspects they are quality of design and quality of conformance. Analyze phase aims to determine the causal relationships in the process and to determine the various sources of variability, in other words in this phase analyze will determine the potential causes of a defect and quality problems that occur In this phase, some tools on can be used such as Failure Mode and Effect Analysis, Root Cause Analysis (RCA) and cause and effect diagram. According to [4] there are several tools that are often used to improve product quality in manufacturing industries such as Design of Experiment (DOE), Statistical Process Control (SPC) and Failure Mode and Effect Analysis (FMEA) can make good quality improvements, but their use should still be integrated with other tools to cover ranging from defect identification, Measure, Analysis and finding the root cause of the defect to making recommendations for improvements to overcome the existing defect. QIM could support industry in managing quality by providing a more comprehensive and simple tool as it is only consists of two matrices
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